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04/02/2023
DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
In this paper, we study masked autoencoder (MAE) pretraining on videos f...
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03/20/2023
TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
Recent years have seen the ever-increasing importance of pre-trained mod...
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10/11/2022
Boosting Adversarial Robustness From The Perspective of Effective Margin Regularization
The adversarial vulnerability of deep neural networks (DNNs) has been ac...
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02/06/2021
The Implicit Biases of Stochastic Gradient Descent on Deep Neural Networks with Batch Normalization
Deep neural networks with batch normalization (BN-DNNs) are invariant to...
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01/27/2021
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression
Nested networks or slimmable networks are neural networks whose architec...
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08/07/2020